This release includes the source code for the static analyses, instrumentation and necessary scripts to reproduce the results described in the SCAM'19 paper:

@inproceedings{zhang-scam19,
  title = "Introducing Privacy in Screen Event Frequency Analysis for {Android} Apps",
  author = "Hailong Zhang and Sufian Latif and Raef Bassily and Atanas Rountev",
  booktitle = "IEEE International Working Conference on Source Code Analysis and Manipulation",
  year = 2019,
} 

The directory structure is as follows:

• README.md: this file.

• INSTALL.md: instructions for reproduction of the results in the paper.

• LICENSE: license for the software components developed at OSU.

• apks: APKs of apps used in the SCAM'19 paper.

• db: recorded screen view events from Monkey runs as SQLite databases.

• code: source code for the static analysis and instrumentation, as well as scripts to run Monkey for simulation.

• simulation: scripts to read and randomize events in databases, and plot the results described in the paper.

• xml: results of the static analysis for the experimental subjects.